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Given that 30% of US adults are smokers, find the average of the random variable X= # of smokers in a random sample of 50 residents of the USA, also find the variance and standard deviation of X.
Construct a 90 percent confidence interval for the true mean weight. (b) What sample size would be necessary to estimate the true weight with an error of 0.02 grams with 90 percent confidence?
Do these results suggest that the different therapies have different effects on mental health? (Use the .05 level.) a. Use the five steps of hypothesis testing.
Sample of 36 packages reveals mean weight to be 3.01 pounds, with standard deviation of 0.03 pounds. What is the estimated population mean?
At the 5% significance level, can the station conclude that the mean age of its listeners is not 25 yrs. Formulate and test the appropriate hypotheses. Use the critical value approach.
If a random sample of 10 people found that 9 were pro-life (i.e., 90%), while another random sample of 1000 people from the same population found that 550 were pro-life (i.e., 55%), which would you find more significant? Why?
Whether the suitable analysis would be one-tailed test or two-tailed test. A type I and type II error, given context of hypothesis.
Drug manufacturer knows that for a certain antibiotics, the average number of doses ordered for a patient is 20. Steve Simmons, a salesman for the company
A least squares linear trend line is just a simple regression line with the independent variable being time (months or years for example).
Find the test statistic, p-value and critical value and state a final conclusion. Sample data: n=40, mean of the values in a sample = 117, assume that the standard deviation = 14 and the significance level = 0.05
What critical value should the company officials use to determine the rejection region?
A recent article in the Wall Street Journal reported that the 30-year mortgage rate is now less than 6 percent. A sample of eight small banks in the Midwest revealed the following 30- year rates (in percent):
Find a 99% confidence interval for the population mean number of weekly miles.
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